Senior Manager, Software Engineering - Data Platform & AI Enablement

📋 Description

• Lead teams for data ingress, pipelines, datalake adoption, and APIs.
• Own execution across data foundation and customer data access layers.
• Ensure reliable, timely, and scalable client data delivery.
• Align ingestion, API access, permissions, and AI-enabled workflows.
• Partner with Product, Data Science, and Customer Success on platform strategy.
• Enable data access via APIs, CLI tooling, and future agentic workflows.

🎯 Requirements

• Experience managing engineering teams responsible for data platforms, pipelines, APIs, or infrastructure.
• Strong technical judgment across data architecture, reliability, and access patterns.
• Proven ability to lead cross-functional initiatives across Engineering, Product, Data Science, and Customer Success.
• Track record of delivering platform improvements with measurable business impact.
• Ability to operate at broader organizational scope beyond a single functional team.
• Strong people leadership, communication, and execution skills.

🎁 Benefits

• Clear ownership across Data, APIs, permissions, and access.
• Reliable and timely client data delivery.
• Faster execution on AI-enabled Data API initiatives.
• Broader datalake adoption across internal teams.
• Reduced dependency bottlenecks between Data and Applications.
• Improved engineering capacity through automation.